Validation Scientist Jobs in Bengaluru

Position: Mechatronics & Big Data Scientist Developer Department: Research & Development Reporting To: General Manager Location: Bengaluru Key Responsibilities Machine Learning: Select features, build, and optimize classifiers using advanced machine learning techniques. Data Mining: Perform data mining using state-of-the-art methods to extract valuable insights from large datasets. Data Enhancement: Extend the company s datasets with third-party data sources when necessary to improve model accuracy and relevance. Data Collection & Processing: Improve data collection procedures to include all necessary information for building analytic systems. Data Cleansing & Integrity: Process, cleanse, and verify the integrity of data used for analysis to ensure reliable results. Ad-hoc Analysis: Perform ad-hoc analysis as needed, presenting the results in a clear, actionable manner. Anomaly Detection: Design and implement automated anomaly detection systems, tracking their performance over time to ensure accuracy. Behavioral Competencies Data-Driven: Strong inclination toward working with data and applying analytical thinking to solve complex problems. Detail-Oriented: Meticulous in data analysis and system development to ensure quality and precision in results. Skills and Expertise Machine Learning Algorithms Strong understanding of machine learning techniques and algorithms such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Data Science Tools Experience with common data science toolkits like R, Weka, NumPy, and MatLab. Proficiency in at least one (preferably NumPy or R) is highly desirable. Data Visualization Skilled in data visualization tools such as D3.js, GGplot, or similar. Database Management Experience with query languages such as SQL, Hive, Pig, NiFi, or others depending on the company s stack. Familiarity with NoSQL databases like InfluxDB, MongoDB, Cassandra, HBase. Statistical Analysis Strong applied statistics skills, including distributions, statistical testing, and regression analysis. Programming Skills Good scripting and programming skills in languages like PHP, Slim, SQL, and Laravel. Big Data Technologies Knowledge of Hadoop, HDFS, NiFi, and other big data platforms and technologies. Qualifications Essential: MTech, MS, or equivalent in Mechatronics, Computer Science, or a related field. Experience: Minimum 2 years of hands-on experience in developing SDKs and working with Big Data platforms. Proven track record in machine learning, data mining, and data science projects. Qualification : MTech, MS, or equivalent in Mechatronics, Computer Science, or a related field

Data Scientist I Job Type: Full-Time Category: Data Science Location: Bangalore About Bright Money Bright is a mission-driven consumer fintech company helping Americans get out of debt and build stronger financial futures powered by data science and machine learning. Our mobile platform provides personalized tools for credit building, debt paydown, budgeting, and loan refinancing. With 300,000+ users, 100,000+ reviews, and support from top-tier investors like Sequoia, Falcon Edge, and Hummingbird, Bright is one of the fastest-growing fintech startups in the U.S. We ve raised $90M+ in equity and debt funding to date. We're proud to be building a global-first, data-driven consumer tech company from India, for the world. About the Role As a Data Scientist I, you will be part of a high-impact team using data and machine learning to power Bright s core financial products. You ll work on problems that directly improve users financial outcomes modeling behavior, predicting intent, and enabling smarter, automated experiences. This is a hands-on role for someone with strong fundamentals in ML, statistics, and programming, and a desire to turn data into real-world product impact. Key Responsibilities Design and build predictive models using core concepts of machine learning, statistics, and probability. Analyze large-scale user and transactional data to extract insights and inform strategy. Collaborate cross-functionally with product managers, engineers, and business stakeholders to define and solve problems. Deploy ML models into production environments, ensuring scalability, stability, and performance. Tune, evaluate, and interpret model results to maximize business value and user outcomes. Document methodologies and workflows for reproducibility and team collaboration. Stay current with AI/ML advancements and experiment with new techniques as appropriate. Required Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Mathematics, or a related quantitative field. Strong grasp of ML and statistical concepts (e.g., regression, classification, hypothesis testing, probability distributions). Proficiency in Python or R, and experience with ML libraries such as scikit-learn, TensorFlow, or PyTorch. Familiarity with model deployment tools and frameworks (e.g., Docker, Flask/FastAPI, MLflow). Understanding of how to implement and monitor models in a real-world production environment. Awareness of modern AI techniques including transformers, LLMs, and generative AI. Strong problem-solving skills, curiosity, and ability to communicate complex ideas clearly. Exposure to cloud platforms like AWS, GCP, or Azure is a plus. Bonus Points For Experience with deep learning and advanced neural network architectures. Understanding of MLOps best practices (CI/CD for ML, monitoring, retraining pipelines). Personal projects, open-source contributions, or research publications in AI/ML. What You ll Work On Model user behavior and financial patterns to power intelligent product features. Analyze complex transaction datasets to surface actionable insights. Build and deploy ML systems that personalize savings and debt management strategies. Apply deep learning, reinforcement learning, and LLMs to real-world fintech use cases. Collaborate with engineering and product teams to launch data-powered experiences in the Bright app. Experiment with cutting-edge AI technologies to innovate in consumer finance. At Bright, you ll go beyond theory you ll use data to change lives. This is your chance to build meaningful, scalable machine learning systems that empower users to take control of their financial future. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related quantitative field

Job Title: Sr. Data Science Engineer Location: Bangalore Experience: 5 8+ Years Job Description As a Senior Data Science Engineer, you will develop and maintain scalable data pipelines and manage API integrations to support growing data volume and complexity. You will play a key role in ensuring data quality and enabling accurate AI model development through effective data handling and automation. Responsibilities Monitor data quality and implement processes for data cleansing and validation. Analyze data to troubleshoot and resolve data-related issues promptly. Develop automation workflows for efficient data labeling, preparation, and augmentation to improve AI model accuracy and utility. Requirements Proven experience as a Data Scientist, Data Analyst, or related role, with experience in data mining. Strong proficiency in data manipulation using Python or R; familiarity with Scala, Java, or C++ for raw data processing is a plus. Experience with business intelligence tools (e.g., Tableau) and big data frameworks like Hadoop and Spark. Strong mathematical foundation, especially in statistics and algebra. Advanced SQL skills with experience in database development, data migration, and integration. Expertise in exploratory data analysis and familiarity with common data science toolkits. Ability to communicate complex data insights clearly and effectively to non-technical stakeholders. Familiarity with data management tools and experience applying machine learning and AI techniques.

Job Title: Associate ML Ops Location: Bangalore Department: Data Science Employment Type: Full-time Experience: 1 2 years Job Overview We are seeking a motivated and detail-oriented Associate ML Ops to join our Data Science team. In this role, you will be responsible for supporting the deployment, monitoring, and scaling of machine learning models in production environments. You ll collaborate closely with data scientists and engineers to build robust MLOps pipelines and ensure model reliability, scalability, and performance. If you are passionate about bringing machine learning models to life and have hands-on experience in productionizing ML systems, we d love to hear from you. Key Responsibilities Deploy and maintain machine learning models in production environments using best-in-class tools like Databricks and MLflow. Collaborate with data scientists to translate experimental models into scalable, production-ready systems. Monitor model performance, accuracy, and overall health through automated tools and custom strategies. Build and maintain RESTful APIs using Python frameworks such as Flask or Django to serve ML models. Write efficient and optimized SQL and NoSQL queries for data extraction and transformation. Apply software engineering best practices, including version control, testing, and documentation, to MLOps workflows. Work with Python libraries like Pandas, PySpark, scikit-learn, SQLAlchemy, and Requests. Troubleshoot issues related to model deployment, API performance, or data integration pipelines. Minimum Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field. 1 2 years of hands-on experience in solving analytical or machine learning problems in production settings. Must-Have Technical Skills Hands-on experience with Databricks and MLflow Proven expertise in deploying ML models in real-world applications Strong understanding of data structures, algorithms, OOP, and software engineering principles Experience building and maintaining REST APIs using Python Proficiency in SQL and NoSQL Excellent Python programming and debugging skills Familiarity with core Python libraries used in ML and data processing: Pandas, scikit-learn, PySpark, SQLAlchemy, etc. Nice-to-Have Skills Exposure to Kafka for streaming and batch data processing Familiarity with Git and CI/CD pipelines Experience with Python multiprocessing or worker/queue systems Understanding of event-driven or asynchronous programming models This is an exciting opportunity to work at the intersection of data science and engineering. You ll play a key role in productionizing cutting-edge models and ensuring they deliver real business impact. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field

Position: Data Scientist (AI/ML Expert) Location: Pritech Park SEZ, Block 09, 4th Floor B Wing, Survey No. 51 to 64/4, Outer Ring Road, Bellandur V, Bangalore, Karnataka, India Department: Advanced Analytics Employment Type: Subexian Experience Required: 1 to 3 years Job Overview: We are looking for a talented Data Scientist with expertise in AI/ML to join our Advanced Analytics team. As a key contributor, you ll design, develop, and validate predictive models, recommendation systems, and forecasting solutions, while also collaborating with cross-functional teams to deliver cutting-edge solutions using the latest technologies. Key Responsibilities: Model Development: Design, develop, and validate predictive models, recommendation systems, and forecasting solutions using a mix of statistical, machine learning, and deep learning techniques. You will work both independently and as part of a collaborative team. Data Visualization & Reporting: Communicate actionable insights effectively through compelling dashboards, reports, and visualizations using tools such as Superset, Power BI, and Python libraries (Matplotlib, Seaborn, Plotly). AI & Tech Solutions: Collaborate with teams to design and deliver flexible, scalable solutions using advanced technologies such as AI and large language models (LLMs). API Development: Develop and integrate REST APIs and frameworks such as Flask or FastAPI for seamless deployment of machine learning models. Documentation: Maintain clear, comprehensive documentation for data workflows, model development, and analytical methodologies to ensure knowledge sharing and transparency across teams. Continuous Learning: Stay up-to-date with the latest trends and advancements in data science, algorithms, and technologies, ensuring your skills and knowledge remain cutting-edge. Required Technical Skills: Python Proficiency: Strong experience with Python and libraries like Scikit-learn, TensorFlow/PyTorch, and data visualization libraries (Matplotlib, Seaborn, Plotly). SQL: Solid hands-on experience in SQL for efficient data querying. ML Ops & Pipelines: Understanding of machine learning operations (ML Ops) and ML pipelines for streamlined model deployment. Cloud & Distributed Computing: Exposure to cloud platforms such as AWS, Azure, or GCP and distributed computing tools like Hadoop, Spark, or Pyspark is a plus. Soft Skills: Effective Communication: Strong ability to communicate complex analytical findings in a clear and engaging manner, tailoring insights for both technical and non-technical audiences. Problem-Solving: A proactive problem-solver with the ability to adapt and thrive in a fast-paced, dynamic environment. Continuous Growth: Self-motivated, curious, and always seeking opportunities for professional growth and learning. At Subex, we encourage a collaborative, innovative, and growth-driven work environment. If you're passionate about applying data science techniques to real-world challenges and want to work with cutting-edge AI/ML technologies, we d love to hear from you!

Position: Senior Data Scientist LLM Location: Bangalore, Karnataka, India Type: Full-Time (On-site) Experience Required: 2+ years in Deep Learning, 1+ years in LLMs Industry: Healthcare AI Company Overview: 5C Network is pioneering multi-modal AI systems for autonomous diagnosis in medical imaging. We're building next-generation models that integrate deep learning with language understanding to revolutionize clinical workflows and diagnostic accuracy. Role Summary: As a Senior Data Scientist LLM, you will lead the development and deployment of Large Language Models (LLMs) focused on enhancing medical imaging diagnostics. You ll work on cutting-edge problems such as instruction fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG), while ensuring scalability and robustness in production environments. Key Responsibilities: LLM Development & Fine-Tuning Design and optimize prompts for diverse clinical and imaging-related use cases. Perform instruction fine-tuning of LLMs to meet task-specific requirements. Develop reasoning pipelines including Chain of Thought (CoT) techniques for complex diagnostic workflows. LLM Deployment & Optimization Self-host and deploy LLMs in secure, scalable production environments. Apply quantization and other performance optimization methods to minimize compute and memory footprint. Ensure high performance, uptime, and security in AI deployments. Retrieval-Augmented Generation (RAG) & Vector Databases Develop and implement RAG pipelines by integrating LLMs with semantic search. Work with vector databases (e.g., Qdrant) to enable fast, efficient retrieval of contextual data. Optimize data storage, indexing, and retrieval to support clinical applications. Data Engineering & Annotation Build and manage high-quality datasets tailored for CoT and multi-step reasoning tasks. Lead data annotation efforts to enhance LLM understanding of medical contexts. Collaboration & Research Collaborate with researchers, ML engineers, and domain experts to bring LLM solutions from prototype to product. Stay ahead of the curve by experimenting with novel LLM architectures and emerging techniques. Qualifications: Bachelor's or Master s degree in Computer Science, Data Science, AI, or a related field. 2+ years of hands-on experience in deep learning. Minimum 1 year of experience working with LLMs (e.g., instruction tuning, prompt engineering, RAG). Prior experience in LLM deployment (self-hosting, optimization, quantization, scaling). Proficient in Python and common ML frameworks (e.g., PyTorch, Hugging Face Transformers). Familiarity with vector databases like Qdrant or similar. Strong interest or prior exposure to healthcare/medical AI. Excellent problem-solving, communication, and team collaboration skills. Technical Stack: Languages: Python Frameworks: PyTorch, Hugging Face Technologies: LLMs (e.g., GPT, LLaMA), Vector Databases (Qdrant), RAG, Quantization Tools: Docker, Kubernetes, REST APIs, Git Work on high-impact AI solutions in the healthcare domain. Collaborate with a team at the forefront of multi-modal diagnostic technology. Access cutting-edge tools and real-world data to drive innovation. Qualification : Bachelor's or Masters degree in Computer Science, Data Science, AI, or a related field.

Position: Senior Data Scientist - AI Employment Type: Full-Time Location: Bangalore, Karnataka, India Experience Required: 2+ years Job Summary: 5C Network is developing multi-modal AI solutions for autonomous diagnosis of medical imaging. This role focuses on building and deploying advanced AI models using Computer Vision and Vision Language Models to analyze CT and MRI scans, helping detect, segment, and classify abnormalities. Key Responsibilities: Develop, train, and implement computer vision models, VLMs, and 3D models on CT and MRI imaging data. Collaborate closely with leading radiologists and AI researchers from India and the US. Work with product and engineering teams to deploy and operationalize AI models effectively. Contribute to cutting-edge research and assist in publishing findings in academic journals and conferences. Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, or related fields. Proven experience in training and deploying deep learning-based computer vision models. Strong interest or experience in healthcare AI applications. Excellent analytical, problem-solving, and communication skills. Ability to collaborate effectively in a research-driven, team-oriented environment. Technical Requirements: 2+ years of hands-on experience with deep learning. Proficient in Python and deep learning frameworks, especially PyTorch. Experience with well-known computer vision architectures (ResNet, DenseNet, U-Net, Vision Transformers, V-Net, etc.). Expertise in building deep learning architectures from scratch. Experience working with Large Language Models (LLMs) is a plus. Knowledge of model pruning, quantization, and scaling model training and inference on GPUs. Qualification : Bachelors or Masters degree in Computer Science, Data Science, or related fields.

Job Title: Senior Data Scientist Location: Bangalore, Karnataka, India Department: DAC Experience: 4 to 6 years About the Role As a Senior Data Scientist, you will leverage your expertise in statistics, machine learning, and data analysis to extract meaningful insights from both structured and unstructured data. Working closely with cross-functional teams, you will develop predictive models, optimize business processes, and contribute significantly to data-driven decision-making across the organization. Key Responsibilities Translate complex business problems into testable hypotheses and proofs of concept, guiding the data science team towards delivery. Apply business acumen to analyze data and extract actionable insights. Communicate complex technical ideas effectively to stakeholders with varying levels of technical expertise. Employ a range of analytical and machine learning techniques to solve business challenges. Conduct research and develop innovative solutions to data analytics problems. Manage data collection, integration, analysis, and presentation across different business contexts. Adhere to and promote best software development practices including version control, peer reviews, and refactoring. Create and maintain thorough documentation of experiments and solutions, following frameworks like CRISP-DM. Stay updated with the latest data science trends, tools, and best practices, sharing knowledge with the team. Conduct peer code reviews and mentor junior data scientists. Drive improvements in data science delivery processes and champion their adoption within the team. Required Skills Technical: Advanced programming skills in Python and SQL. Strong foundation in Probability, Statistics, and hypothesis testing. Expertise in practical machine learning, including common pitfalls and mitigation strategies. Proficient with data visualization tools such as Tableau, PowerBI, and Python libraries (seaborn, matplotlib). Experience with modern development tools and collaborative coding practices. Intermediate cloud technology knowledge with experience deploying data science solutions on cloud platforms. Non-Technical: Pragmatic decision-making balancing solution perfection with business impact and timelines. Project planning and task delegation for data science teams. Ability to present complex insights to non-technical audiences via storyboarding and presentations. Strong written communication skills for technical documentation and paper submissions. Leadership and mentorship capabilities within the data science community. Preferred Skills (Good to Have) Advanced expertise in specialized areas such as Operations Research, NLP, Deep Learning, Time Series Forecasting, Reinforcement Learning, Graph ML, or Explainable AI. Advanced cloud technology knowledge, including application deployment. Ability to decompose business problems into technical subproblems matched with appropriate methodologies. Qualifications Bachelor s degree in Engineering, Technology, or a related technical field. 4 to 6 years of relevant data science experience. Work on impactful, cutting-edge AI and analytics projects with Fortune 500 clients. Collaborate with a passionate team of data scientists and engineers. Grow your technical and leadership skills in a fast-paced, innovation-driven environment. Qualification : Bachelors degree in Engineering, Technology, or a related technical field.

Job Title: Lead Data Scientist Location: Bangalore North, Karnataka, India Job Type: Full-Time Industry: Entertainment / Mobile Gaming About Us We are one of India s most exciting and fast-growing mobile gaming companies. Founded in 2014 and partnered with Modern Times Group (MTG), our vision is to create simple, impactful casual game experiences at massive scale. Our portfolio includes evergreen hits such as Daily Themed Crossword, WordTrip, WordJam, WordWars, WordTrek, TileMatch, and Jigsaw. We have built a global network of chart-topping games supported by powerful tech and analytics infrastructure that fuels rapid growth. Position Summary As a Lead Data Scientist in our Central Analytics team, you will play a critical role in shaping data-driven strategies that enhance player experience and business performance. This fast-paced role offers abundant opportunities to work alongside product leaders and game teams, transforming complex data into actionable insights that drive user acquisition, engagement, and monetization. Key Responsibilities Collaborate closely with product leaders to provide data-driven advisory on strategic decisions. Partner with game development teams to analyze gameplay data and generate actionable insights that improve user acquisition, engagement, and monetization. Perform advanced exploratory data analyses and ad-hoc reporting to identify trends, issues, and opportunities across our game portfolio. Design, execute, and lead data research projects, delivering practical recommendations based on rigorous statistical analyses. Drive continuous improvement in game performance through innovative machine learning models and analytics techniques. Requirements Bachelor s/Master s/PhD degree in Computer Science, Statistics, or a related field. Proven experience with machine learning, statistical modeling, and data science projects. Hands-on proficiency in Python and/or Spark for data manipulation, visualization, and building ML models. Strong SQL skills with experience querying large, complex datasets from data lakes or warehouses. Demonstrated ability to lead research projects and translate findings into actionable business recommendations. Excellent interpersonal skills and a collaborative approach to working with cross-functional teams. Knowledge of Deep Learning frameworks and techniques is highly desirable. Work with a top-tier gaming company known for its innovative and data-driven culture. Influence millions of users worldwide through impactful analytics. Collaborate with talented teams in a high-growth, dynamic environment. Access to cutting-edge tools and technologies for data science and machine learning. Competitive compensation and career growth opportunities. Qualification : Bachelors/Masters/PhD degree in Computer Science, Statistics, or a related field.

Job Title: Senior Manager Data Science, Data Modelling & Analytics Location: Bengaluru Department: Insights & Analysis About the Role: As a Senior Manager, you will lead a team of data scientists and analysts, driving the development and deployment of advanced analytics solutions that enable data-driven decision-making. This role blends strategic leadership with hands-on technical expertise, playing a critical part in delivering impactful insights and analytics across the organization. Key Responsibilities: Hands-On Technical Contribution: Design, develop, and deploy advanced machine learning models and statistical analyses to address complex business challenges. Utilize Python, R, SQL, and other tools to manipulate data and build predictive models. Manage end-to-end data pipelines including collection, cleaning, transformation, and visualization. Collaborate with IT and data engineering teams to integrate analytics solutions into production environments. Provide thought leadership on analytics solutions and metrics aligned with business needs. Team Leadership & Development: Lead, mentor, and manage a team of data scientists and analysts, fostering collaboration and innovation. Guide career development, conduct performance evaluations, and promote skill enhancement. Encourage continuous learning and adoption of best practices in data science methodologies. Strategic Planning & Execution: Collaborate with senior leadership to define and execute data science strategy aligned with business goals. Identify and prioritize high-impact analytics projects that deliver business value. Ensure timely and quality delivery of analytics solutions balancing scope and resources. Client Engagement & Stakeholder Management: Act as primary point of contact for clients, translating business challenges into data science solutions. Lead client presentations, workshops, and discussions, effectively communicating complex analytical concepts. Build and maintain strong client relationships, managing expectations and deliverables. Deliver regular reports and dashboards to senior management and stakeholders. Bridge communication between technical teams and business units to align analytics initiatives with organizational objectives. Cross-Functional Collaboration: Work closely with Business Intelligence, Market Analytics, and Data Engineering teams to integrate analytics into business processes. Translate complex insights into actionable recommendations for non-technical stakeholders. Facilitate data-driven workshops and presentations across the organization. Collaborate with support functions to provide timely leadership updates on operational metrics. Governance & Compliance: Ensure compliance with data governance policies and data privacy regulations (e.g., GDPR, PDPA). Implement best practices for data quality, security, and ethical analytics use. Stay abreast of industry trends and regulatory changes affecting data analytics. Qualifications: Education: Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. Experience: 12+ years in advanced analytics, data science, data modelling, machine learning, or related fields. 5+ years in leadership roles managing analytics teams and projects. Experience in BFSI, Hi-Tech, Retail, or Healthcare industries preferred. Experience with media data is a plus. Technical Skills: Proficiency in Python, R, SQL. Experience with data visualization tools like Tableau, Power BI. Familiarity with big data platforms (Hadoop, Spark) and cloud services (AWS, GCP, Azure). Strong knowledge of machine learning frameworks and libraries. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and interpersonal abilities. Ability to influence and drive organizational change. Strategic thinker focused on business outcomes. Desirable Expertise: Advanced Analytics Techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression, time series forecasting, classification, market mix modelling. Prescriptive Analytics: Optimization, simulation modelling. Text Analytics: NLP, sentiment analysis. Machine Learning Techniques: Supervised Learning: Linear/logistic regression, decision trees, random forests, gradient boosting, SVMs. Unsupervised Learning: Clustering, PCA, anomaly detection. Reinforcement Learning: Q-learning, deep Q-networks. Generative AI & Large Language Models (Good to Have): Experience with GPT, Gemini, LLAMA, etc. for text generation, summarization, conversational agents. Hyperparameter tuning, prompt engineering, embeddings, fine-tuning. Additional Skills: Proficiency with Tableau or Power BI (advanced visualization). Strong data management, structuring, and harmonization skills.

Position Title: Lead AI/ML Engineer Location: Bengaluru Bellandur (GTP) Employment Type: Full-time Job Summary Synechron is seeking a seasoned Lead AI/ML Engineer to lead cutting-edge initiatives in artificial intelligence and machine learning. This role requires deep technical expertise in AI/ML, including deep learning, NLP, computer vision, and generative AI, combined with strong leadership skills to manage teams and drive innovation. You will collaborate closely with stakeholders to deliver high-impact solutions and play a key role in shaping the company s AI-driven digital transformation. Key Responsibilities Lead end-to-end development of AI/ML solutions across use cases involving machine learning, deep learning, computer vision, NLP, and generative AI. Design and implement scalable models and algorithms, ensuring performance, accuracy, and interpretability. Collaborate with product owners, engineers, and business stakeholders to align AI/ML initiatives with strategic objectives. Mentor and guide data scientists and ML engineers to elevate technical quality and delivery standards. Continuously evaluate emerging AI technologies, frameworks, and methodologies to enhance team capabilities. Contribute to innovation strategy by identifying new business opportunities driven by AI/ML. Ensure data and model governance, ethical AI practices, and responsible deployment of AI solutions. Required Skills & Tools Core Competencies: Strong hands-on experience in machine learning, deep learning, NLP, computer vision, and generative AI. Expertise in Python (primary), with additional knowledge of R, SQL, Java, or C++. Deep understanding of statistics, linear algebra, probability, and algorithm design. Frameworks & Tools: TensorFlow, PyTorch, Keras, OpenCV, Hugging Face, spaCy, Scikit-learn, etc. Data processing tools like Pandas, NumPy, and Spark. Version control and CI/CD tools (e.g., Git, MLflow, Docker, Airflow). Methodologies: Proficient in Agile development and model lifecycle management. Experience with productionizing AI models and deploying them on cloud platforms (AWS, Azure, GCP). Experience 8 12 years of experience in AI/ML, Data Science, or related domains. Minimum 8+ years in a leadership or technical lead role driving successful AI/ML initiatives. Proven record of delivering high-impact AI/ML projects at scale. Experience mentoring and managing AI/ML teams in collaborative, cross-functional environments. Day-to-Day Activities Direct and oversee AI/ML model development, validation, deployment, and monitoring. Review project designs, provide technical oversight, and conduct code/model reviews. Drive research and experimentation to apply novel AI methods to solve real-world problems. Support proposal development and client engagements with AI/ML subject matter expertise. Foster a culture of continuous learning, innovation, and data-driven thinking. Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Relevant certifications (e.g., TensorFlow, AWS Machine Learning, Azure AI Engineer) are a plus. Soft Skills Strong leadership, team management, and mentoring capabilities. Excellent communication and stakeholder engagement skills. Strategic thinking with a passion for innovation and emerging technologies. Ability to thrive in a dynamic, fast-paced environment and lead through ambiguity. Diversity & Inclusion at Synechron Synechron is committed to a diverse and inclusive workplace. Through our Same Difference DEI initiative, we celebrate unique backgrounds and perspectives while fostering a respectful, empowering environment. We welcome applications from candidates of all identities and provide support through mentoring, internal mobility, and flexible work arrangements. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Principal Scientist Business Unit: DALP Location: Bangalore About Adobe Adobe leads the digital experience revolution, empowering creators and global brands with innovative tools to design, deliver, and transform how companies interact with customers across every screen. Recognized for 20 consecutive years on Fortune s 100 Best Companies to Work For, Adobe fosters an inclusive, collaborative, and growth-driven culture where new ideas thrive. Role Summary As Principal Scientist for Adobe Learning Manager (ALM), you will spearhead the architecture and delivery of a next-generation, AI-powered eLearning platform supporting tens of millions of learners globally with 40% YoY growth. Your mission is to design scalable, resilient, and ACID-compliant systems that handle unpredictable workloads while enabling hyper-personalized learning experiences through generative AI. Key Responsibilities Lead the technical vision, design, and roadmap for ALM s scalable SaaS platform. Deliver high-performance web services tailored to evolving business needs with a strong focus on scalability, security, and stability. Develop and refine engineering and business processes to enhance team productivity and product quality. Architect solutions that elegantly split complex workflows between data lakes and business logic layers. Mentor and guide junior engineers, fostering innovation and technical excellence. Stay ahead of industry trends and integrate cutting-edge technologies to maintain Adobe s competitive edge. Lead customer-centric initiatives and collaborate closely with cross-functional teams to deliver impactful solutions. What You Need to Succeed Bachelor s degree in Computer Science or Software Engineering. 15+ years of experience building and maintaining highly available, scalable SaaS services, with at least 4 years as a Lead or Chief Architect. Expert proficiency in Java, Spring framework, Tomcat, AWS Cloud, and relational databases like MySQL. Strong problem-solving skills coupled with excellent verbal and written communication abilities. Passion for solving complex customer challenges and pioneering new technological and UX frontiers. Ability to thrive amid ambiguity and shifting priorities while leading technical and non-technical stakeholders. Join a global leader driving innovation in digital experiences and eLearning. At Adobe, you ll influence the future of learning technology, work alongside passionate experts, and be part of a culture that values creativity, diversity, and continuous growth. Qualification : Bachelors degree in Computer Science or Software Engineering.

Data Scientist Location: Bengaluru Department: Global Strategic Services Data Science EMEA Type: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader harnessing AI and data to solve complex business challenges across industries such as Oil & Gas, Chemicals, Pharma, Manufacturing, and Energy. Our flagship solutions include Cognite Atlas AI, an industrial agent workbench, and the Cognite Data Fusion (CDF) platform. Recognized as a 2022 Technology Innovation Leader and the 2024 Microsoft Energy and Resources Partner of the Year, Cognite is at the forefront of industrial digital transformation. Our Values Impact: We focus on meaningful results. Ownership: We take responsibility, foster inclusivity, and share success. Relentless: We pursue innovation with determination and resilience. Who You Are 3+ years of industry experience (or academic equivalent) in Oil & Gas, Manufacturing, or Power & Utilities, developing analytical solutions for production optimization, predictive maintenance, and related applications (e.g., well monitoring, event prediction, production planning). 1+ years serving as a domain expert on internal or customer projects. Proficient in Python and its data ecosystem (pandas, numpy), and ML libraries such as scikit-learn, Keras, etc. Skilled in data visualization tools like PowerBI, Grafana, Tableau, or web frameworks like Plotly Dash, Streamlit. Advocates for software best practices, including automated testing and documentation. Experienced with version control systems such as Git. Comfortable contributing to large-scale software projects. Pragmatic thinker able to balance short- and long-term tradeoffs. Trusted advisor on machine learning applications, with excellent communication skills for technical stakeholders and customers. Experienced mentor and quality assurer for junior team members. Cloud experience, including building streaming models and deploying serverless functions. Track record working across diverse industries. Eager to stay current with advances in generative AI and explore its practical applications for customers. Be part of a diverse global team with 70+ nationalities and a strong commitment to Diversity, Equality, and Inclusion (DEI). Work from our Bengaluru office (Rathi Legacy, Hoodi) in a modern hybrid environment. Benefit from a flat organizational structure with direct access to decision-makers. Collaborate on impactful, ambitious projects alongside talented professionals across industries. Engage with our community through internal HUBs and open conversations. Make an Impact Join Cognite and help transform industrial sectors by enabling better decisions through AI and data. We encourage candidates of all backgrounds to apply. If you re ready to grow and innovate with us, apply today!

Senior Data Scientist Location: Bengaluru Department: Global Strategic Services Data Science EMEA Employment Type: Full-Time | Hybrid About Cognite Cognite is a global SaaS pioneer leveraging AI and data to solve complex business challenges in industries such as Oil & Gas, Chemicals, Pharma, Manufacturing, and Energy. Our key products include Cognite Atlas AI, an industrial agent workbench, and the Cognite Data Fusion platform. We are recognized as a 2022 Technology Innovation Leader and 2024 Microsoft Energy and Resources Partner of the Year. Our Values Impact: Driving meaningful outcomes. Ownership: Taking responsibility beyond comfort zones with inclusivity. Relentless: Innovating with determination and resilience. About the Role As a Senior Data Scientist, you will work in cross-functional teams delivering AI- and physics-based solutions that optimize operations and support decision-making in heavy-asset industries like Oil & Gas, Power & Utilities, Renewables, and Manufacturing. You will engage with customers, lead solution scoping, design, deployment, and operationalization using Cognite s data platform. What You ll Do Lead design and development of machine learning and physics-based models for industrial problems. Collaborate with data scientists, engineers, solution architects, and project managers to deliver scalable solutions. Conduct workshops and advise customers on solution approaches and pitfalls. Build and deploy dashboards and visualizations for data-driven insights. Mentor junior team members and promote best software practices including testing and documentation. Contribute to production-grade deployments and cloud-native solutions. Stay updated with emerging GenAI technologies and integrate them into customer use cases. Who You Are 5+ years as a Data Scientist, preferably in Oil & Gas, Maintenance, or Manufacturing domains. 1+ years as a domain expert on projects involving customer engagement. Proficient in Python, ML libraries (scikit-learn, Keras), and data visualization tools (PowerBI, Grafana, Tableau, Plotly Dash, Streamlit). Advocate for software best practices: automated testing, documentation, and version control (Git). Experienced contributor to large software projects. Pragmatic with the ability to balance short- and long-term priorities. Effective communicator with strong stakeholder management skills. Experienced mentor and quality assurer for junior colleagues. Cloud experience with serverless functions and production deployments. Proven success working across diverse industries. Eager to explore and apply GenAI developments in practical solutions. Work in a diverse global community with 70+ nationalities and a strong DEI focus. Modern hybrid work environment based in Bengaluru (Rathi Legacy, Hoodi). Flat organizational structure with direct access to decision-makers. Opportunity to collaborate on ambitious projects across industries. Access to ongoing learning and a vibrant internal community (HUB). Make an Impact Cognite is driving the future of industrial data innovation. Join us to help industries become more efficient, sustainable, and digitally transformed. We welcome candidates from all backgrounds apply today to be part of our journey!

Data Scientist Experience: 5+ Years Location: Bangalore, Karnataka, India Job Type: Full Time Job Summary We are seeking an experienced Data Scientist with over 5 years of expertise to join our innovative team in Bangalore. The ideal candidate will have hands-on experience in advanced statistical methods, machine learning, and deep learning frameworks, combined with strong skills in deploying models at scale. Key Responsibilities Apply advanced Statistics and Operations Research methods to solve complex business problems. Develop and deploy predictive and machine learning models using frameworks such as PyTorch, TensorFlow, Keras, and XGBoost. Utilize data engineering and big data tools including PySpark, Databricks, and Flask for building scalable data solutions. Implement and fine-tune NLP models like RNN, LSTM, and attention-based architectures, leveraging pre-trained models from Stanford, IBM, Azure, and OpenAI. Design and optimize efficient SQL queries to extract data from large databases. Work with visualization tools like D3.js, Dash Plotly, and deploy interactive dashboards using Streamlit. Utilize graph databases such as Neo4j for complex data relationships. Manage version control with tools like GitHub or Bitbucket. Deploy machine learning models into production environments using MLOps practices on cloud platforms such as AWS or Azure. Required Skills 5+ years of professional experience as a Data Scientist or similar role. Strong foundation in statistics, machine learning, and deep learning techniques. Proficient in Python-based data science libraries and frameworks. Hands-on experience with cloud-based MLOps and deployment. Excellent SQL skills for data extraction and manipulation. Experience with version control systems and collaborative development. Familiarity with NLP techniques and modern pre-trained language models. Strong problem-solving and communication skills. Qualifications Any graduate degree in Computer Science, Statistics, Mathematics, Engineering, or related field. Join a forward-thinking company in Bangalore, where you will work with cutting-edge technologies to create impactful data-driven solutions. Grow your career in an environment that values innovation, diversity, and continuous learning.

Job Title: Product Analyst - I Location: Bangalore, India Company: Glance An InMobi Group Company About Glance Founded in 2019, Glance is a consumer technology company powering disruptive digital platforms such as Glance, Roposo, and Nostra. Our flagship Glance Lock Screen is available on over 400 million smartphones globally, delivering personalized, context-aware content seamlessly. Roposo is revolutionizing live video experiences with immersive, creator-led content, while Nostra leads as the largest gaming platform in India and Southeast Asia, enabling users to discover, play, watch, learn, and compete. Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group. At Glance, we encourage you to dream big and take ownership from day one. Collaborate with talented, ambitious teams on mission-critical projects that leverage bleeding-edge technology to redefine consumer experiences. We support your growth with daily meals, gym access, training sessions, modern tech tools, and a welcoming environment for your kids and pets. Role Overview As a Product Analyst - I, you will work closely with product managers, engineers, data scientists, and content teams to analyze, interpret, and provide actionable insights from data. Your work will directly influence product features, personalization strategies, and content optimization on India s largest visual content discovery platforms including Glance and Roposo. Key Responsibilities Collaborate with cross-functional teams and external partners to drive data-informed innovation. Work with product managers to define and analyze metrics, evaluate feature adoption, and measure product performance. Support personalization efforts by working with data science and engineering teams on live feed and tab features for Roposo and Glance apps. Partner with content teams to refine content strategies and monitor performance of shows and creators. Develop frameworks and processes to enable faster and more effective data analysis. Strong analytical mindset with a bias for action and attention to detail. Comfortable working with data tools to uncover insights and support product decisions. Energetic, quick learner who thrives in a fast-paced, cross-functional, and global environment. Ability to multitask and collaborate effectively with diverse stakeholders. Skilled in creating frameworks and processes for efficient data analysis. Required Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Mathematics, or a related analytical field. 3 5+ years of experience in product analytics within consumer tech or digital product environments. Proficient in SQL/BigQuery, Excel, and dashboarding tools like Tableau, Superset, or Power BI. Knowledge of R or Python is a plus. Join Glance and play a key role in shaping data-driven decisions on some of India s largest and most innovative digital platforms. Apply now to grow your career in Bangalore! Qualification : Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related analytical field.

Private Markets Data Extraction, Aladdin Data Director Location: Bengaluru, Karnataka Team: Data Science Company: BlackRock About the Role We are seeking a tech-savvy leader to head our Private Markets Data Extraction team within the Aladdin Data group. This role involves driving the strategic direction of data initiatives by leveraging cutting-edge technologies like Large Language Models, AI Orchestration Frameworks (e.g., LangChain), Spring, GIT/ADO, Solr, Cassandra, and more. You will work closely with Data, Product, and Technology teams to ensure our data products exceed client expectations in quality and scope, while gaining deep exposure to finance domains such as risk management, valuations, and operations. What You ll Do Develop strategies for automated extraction of data from semi-structured and unstructured sources (e.g., regulatory documents) to build scalable, reusable pipelines. Architect and build extensible data ingestion and extraction platforms accessible to internal teams and customers. Own technical architecture, design principles, and application governance. Manage diverse, global teams of engineers, data scientists, and other tech professionals. Collaborate with cross-office and international teams. Provide expert technical guidance on software design and implementation. Mentor and support career growth for junior team members. What You Need B.S. / M.S. in Computer Science, Engineering, or related field. 12+ years of professional experience with proven leadership. Strong ability to communicate technical strategies clearly. Hands-on experience with Java and Python, object-oriented programming. Experience designing/building APIs and microservices. Expertise with open-source technologies: Spring/SpringBoot, Apache Solr, Protocol Buffers, LangChain, Docker. Experience with relational and NoSQL databases (e.g., Apache Cassandra). Agile team experience with strong problem-solving and rapid learning capabilities. Excellent interpersonal, communication, and presentation skills. Experience mentoring junior engineers. Good to Have Cloud-native development experience (Kubernetes, Docker) and Microsoft Azure. Familiarity with Apache Kafka or other pub-sub frameworks. Experience with Large Language Models (OpenAI LLMs), AI app frameworks, vector databases, NLP. Finance and financial services domain expertise. Benefits & Work Model Comprehensive benefits including retirement plans, tuition reimbursement, healthcare, family support, and Flexible Time Off (FTO). Hybrid work: typically 4 days in-office, 1 day remote with some flexibility depending on business needs. Collaborative culture fostering learning and innovation. About BlackRock BlackRock s mission is to help more people experience financial well-being globally. We invest in our employees to create a welcoming, valued, and supportive environment that encourages growth and impact. Qualification : B.S. / M.S. in Computer Science, Engineering, or related field.

Data Scientist - I | Meesho Careers Location: Bangalore, Karnataka | Department: Tech Join Meesho as a Data Scientist and Shape the Future of E-commerce At Meesho, our Data Scientists work on high-impact projects such as fraud detection, inventory optimization, and platform vernacularization, building intelligent systems that enhance the experience of millions of users across thousands of product categories. What You ll Do Design and develop advanced data models and run experiments to derive insights from complex datasets Enhance product usability and identify new growth opportunities through data Analyze reseller behavior to recommend relevant products and increase engagement Design and optimize discount programs to boost reseller sales Identify end-customer preferences to help resellers improve revenue Use analytics to identify supply chain bottlenecks and help suppliers meet SLA requirements Forecast seasonal demand and contribute to strategic planning by modeling key metrics Mentor junior data scientists and help foster a collaborative learning environment Bachelor's or Master s degree in Computer Science, Data Science, or related fields 1 2 years of professional experience as a Data Scientist in a fast-paced, preferably B2C environment Hands-on experience with machine learning, neural networks, and related techniques Proficiency in tools like SQL, Python, R Strong statistical foundation, with expertise in hypothesis testing and model validation Proven ability to conduct and analyze A/B testing Experience working closely with product and tech teams Bonus Points If You Have: Experience in personalization or similar ML problem spaces Familiarity with Big Data technologies such as Apache Spark, Hadoop, or Redshift About Meesho Meesho is India's top-rated e-commerce platform on Glassdoor, known for empowering millions of entrepreneurs across the country. We provide sellers with zero-commission benefits and the lowest shipping costs, serving every serviceable pincode in India. With over 1.75 million registered sellers, Meesho is helping small businesses grow using a unique business model and world-class tech infrastructure. From first-time internet users to seasoned entrepreneurs, our inclusive platform caters to a diverse customer base across India. Our Mission Democratizing Internet Commerce for Everyone Meesho (short for Meri Shop) is dedicated to enabling 100 million small businesses to succeed online, offering them an affordable, reliable, and easy-to-use platform that mirrors local market preferences. Our Culture and Total Rewards We cultivate a performance-driven, people-first culture that values learning, creativity, and excellence. Our "Mantras" guide our daily decisions, from hiring to growth discussions. Meesho Total Rewards includes: Market-leading compensation, including equity-based benefits Holistic wellness through our MeeCare Program: medical insurance, telehealth, wellness events, gym discounts, and more Work-life balance support: generous leave policies, parental benefits, and retirement plans Learning & development assistance and career mobility programs Fun workplace culture with events, personalized gifts, and team engagement activities Join Meesho to work on meaningful data problems, impact millions, and grow your career with a supportive and innovative team. Qualification : Bachelor's or Masters degree in Computer Science, Data Science, or related fields

Data Scientist III Advanced Analytics Role at Meesho Location: Bangalore, Karnataka | Department: Tech About the Data Science Team at Meesho Our Data Science team is the engine driving intelligent decision-making at Meesho. Known internally as the Avengers to our S.H.I.E.L.D, we tackle mission-critical challenges using cutting-edge data science to empower millions of users and small businesses across Bharat. From fraud detection and inventory optimization to platform vernacularization, we re shaping the future of e-commerce in India through data innovation. As a Data Scientist III, you'll be solving complex problems in a rapidly evolving market. You ll lead initiatives that translate data into strategic insights and scalable models, impacting business across various functions. About the Role If you thrive on solving high-impact data problems and love deriving actionable solutions from large datasets, you may be the next Data Scientist III at Meesho. Your primary responsibility will be to increase the utility of business data through experimentation, modeling, and strategic insights. This role involves significant collaboration with cross-functional teams, mentorship, and ownership of critical analytics workflows. What You ll Do Build and deploy machine learning models to extract insights from complex data Run experiments to test hypotheses and evaluate product performance Drive product usability improvements and uncover new growth opportunities Analyze reseller preferences and personalize product offerings Create effective discount strategies to support reseller success Enhance understanding of end-user behavior for improved targeting Uncover supply chain inefficiencies and improve SLA performance Predict seasonal and regional demand to guide planning decisions Mentor junior data scientists and contribute to team development What You ll Need Bachelor s or Master s degree in Computer Science, Data Science, or a related technical field 4 7 years of experience as a Data Scientist, ideally in a fast-paced B2C company Proficiency with Neural Networks, supervised/unsupervised learning, and ML frameworks Expertise in Python, SQL, and R for data analysis and model development Strong knowledge of statistics, linear algebra, and model validation techniques Experience in designing, running, and analyzing A/B tests Exceptional problem-solving and communication skills Experience working closely with product and engineering teams Bonus Points For: Work on personalization systems or recommendation algorithms Familiarity with Big Data technologies like Apache Spark, Hadoop, or Redshift About Meesho Meesho is India s leading social commerce platform, empowering over 1.75 million sellers to grow their businesses online. We offer a unique business model with zero commission fees and the lowest shipping costs, supported by a powerful tech ecosystem and pan-India logistics network. Our platform is built for first-time internet users and small business owners alike, democratizing e-commerce across every corner of the country. Our Mission Democratizing Internet Commerce for Everyone Meesho s goal is to enable 100 million small businesses to succeed online. With relatable, affordable merchandise and innovative seller support tools, we help entrepreneurs reach new customers and scale efficiently. Our Culture and Total Rewards At Meesho, we cultivate a high-performance, people-first culture supported by our 11 guiding Mantras. We prioritize continuous learning, collaboration, and transparency, and back it up with industry-leading employee experiences. Our Total Rewards Include: Market-leading compensation with both cash and equity components Access to MeeCare Program for physical, mental, financial, and social wellness Comprehensive medical coverage for employees and families Parental benefits, generous leave policies, and retirement plans Support for learning and career development through structured programs Employee engagement, flexible benefits, relocation assistance, and much more We re more than just a company we re a movement redefining online commerce in India. If you re a passionate data expert ready to lead high-impact initiatives, apply now and become a part of Meesho s incredible journey. Qualification : Bachelors or Masters degree in Computer Science, Data Science, or a related technical field

Job Title: Senior R&D Scientist Downstream, Fast Trak Process Design & Validation Services Location: Bengaluru, India About the Role: We are seeking a Senior R&D Scientist Downstream to lead the technical development and execution of new or improved services aligned with our R&D strategic initiatives. This role focuses on downstream process development services and spans the full innovation cycle from defining specifications and designing solutions to validation and market launch support. You will work in close collaboration with R&D project managers and cross-functional teams to bring new bioprocess services to life. Key Responsibilities: Serve as the technical lead on innovation projects, working closely with R&D project managers and relevant departments to ensure successful project execution. Define and document technical specifications for new service and product developments based on customer and market requirements. Plan, execute, and report on technical studies, including risk assessments and experimental design, throughout various project stages. Lead and conduct verification and validation studies to ensure new services/products meet both technical and marketing requirements. Oversee lab setup and documentation in preparation for service commercialization. Ensure compliance with Environment, Health & Safety (EHS) standards and regulatory guidelines within laboratory operations. Qualifications: Bachelor s, Master s, or Ph.D. in Molecular Biology, Biochemistry, Bioengineering, or a related scientific discipline. Minimum of 5 years of hands-on experience leading and delivering technical projects in a scientific or bioprocessing environment. Proven ability to work independently, troubleshoot complex problems, and think creatively to develop practical solutions. Experience managing multiple projects in parallel, with strong organizational and time-management skills. Excellent communication, reporting, and presentation skills, with the ability to tailor information to both technical and non-technical stakeholders. Preferred Experience: Familiarity with aseptic laboratory techniques. Working knowledge of Good Laboratory Practice (GLP). Experience in upstream or downstream biotechnology unit operations. Qualification : Bachelors, Masters, or Ph.D. in Molecular Biology, Biochemistry, Bioengineering, or a related scientific discipline.